Build Your Own X is a curated GitHub repository of step-by-step guides for recreating familiar technologies from scratch as programming exercises. Its index organizes tutorials covering databases, operating systems, programming languages, Git, web servers, neural networks, command-line tools, games, browsers, distributed systems, and other software categories, with implementations and guides in languages including Python, JavaScript, Go, C++, Java, and others.
A community-maintained directory of projects made by independent developers in China, presented as a plain Markdown repository. It organizes entries into a main list of ready-to-use websites and apps, a programmer-focused section for projects requiring command-line use or coding, and a games section; entries can be marked as in development, launched, or closed or unmaintained. Contributors can add projects through pull requests or issues.
codebase-memory-mcp is an MCP server from DeusData that indexes a codebase into a persistent local knowledge graph for AI coding agents. It parses source with tree-sitter AST grammars and uses Hybrid LSP semantic type resolution for selected languages to model functions, classes, call chains, HTTP routes, and cross-service links. Its MCP tools support code search, structural and Cypher-style queries, call tracing, architecture overviews, impact analysis, dead-code detection, and graph visualization. The project is distributed as native executables for macOS, Linux, and Windows, with no language runtime, hosted service, or API key required. Processing is local; the repository describes a RAM-first pipeline using compressed data, in-memory SQLite, and fused Aho-Corasick pattern matching, and reports sub-millisecond structural queries. A local visualization interface is available at localhost:9749.
Codex Orchestration is a Codex plugin that coordinates multiple models and role-based stages within a single task. It can assign optional Planner, Advisor, and Designer roles, plus a required Executor; the selected Codex model passes work between them, checks each result, and returns the final answer. The Planner creates and revises a plan, the Advisor reviews it and can return PLAN_APPROVED, the Designer produces an optional visual or UX handoff, and Executors implement the approved plan, potentially in parallel. The workflow stops after approval or after a safety limit of eight reviews, showing unresolved issues if approval is not reached. It is installed through the Codex plugin marketplace and requires Python 3.11 or newer.
Cognee is an open-source AI memory platform for agents. It ingests data in varied formats and builds a self-hosted knowledge graph that combines vector embeddings, graph relationships, and ontology generation, allowing agents to search by meaning and connect related information across sessions. Its API provides remember, recall, forget, and improve operations, with session memory synchronized to the graph. The project provides Python, Rust, and TypeScript clients, a CLI and UI, MCP support, and integrations for Claude Code and OpenClaw.
Dear ImGui is a self-contained, immediate-mode graphical user interface library for C++ developed for programmer-facing tools rather than typical end-user applications. Programs call UI functions each frame so the interface reflects live application state, making it suited to game-engine tooling, content-creation tools, visualization and debugging interfaces, real-time 3D applications, and embedded or fullscreen software. The library generates optimized vertex buffers that applications can render through their own 3D pipeline. Its core consists of platform-agnostic C++ source and header files that can be compiled directly into an existing project; platform and graphics API backends are provided separately, and custom backends can be used wherever textured triangles can be rendered. It is renderer-agnostic, portable, and has no external dependencies. Dear ImGui is distributed under a free, permissive license. The project emphasizes minimal state synchronization, setup, and maintenance, but does not provide some features common in higher-level GUI libraries, including full internationalization and accessibility support.
Graphify is a command-line tool and agent skill that turns a codebase and related project materials—including documentation, SQL schemas, configuration files, PDFs, images, and videos—into a locally queryable knowledge graph. It uses deterministic, local tree-sitter AST parsing for code, while non-code materials can receive a semantic pass from the configured AI assistant or API key; it does not use embeddings or a vector store. Graphify labels graph edges as EXTRACTED when they are explicit in the source or INFERRED when resolved by the tool, and can generate a clickable graph.html visualization, a GRAPH_REPORT.md summary, and a graph.json representation for later queries. The CLI is installed as the graphifyy package, registered with `graphify install`, and invoked through `/graphify` in supported AI coding assistants such as Claude Code, Cursor, Codex, Gemini CLI, and GitHub Copilot. The project is developed by Graphify Labs and provides free, fully local code mapping; its homepage describes a separate Graphify platform available through early access.
loop.js is a TypeScript framework and CLI for loop engineering: it runs an agent against a declared goal and verification criterion until a separate, skeptical Verify agent judges the work complete. Each round starts with fresh context and reads state and handoff notes from disk; the worker agent cannot approve its own work, and a failed verification supplies a reason for the next round. The framework provides round, spending, and per-round timeout guards; typed exits; crash recovery; idempotent resumption from a stored cursor; and a compare-and-set lock with heartbeat to prevent overlapping live runs and take over dead ones. It can run from a terminal, be embedded in a product, or be scheduled through crontab, launchd, Task Scheduler, or Modal's cloud.
omg.dev is an open-source, self-hosted parallel coding-agent harness and control plane developed by BennyKok. It runs coding-agent sessions on a local computer or hosted Computer, keeps them running when the web interface disconnects, and provides a single web UI for parallel sessions, transcript reading, follow-up instructions, chats, bots, schedules, and notifications. The project supports agents including Claude Code, Codex, Grok, Cursor, OpenCode, Jcode, GitHub Copilot, and Pi, using the user's existing agent subscriptions or API keys. Local installations run through a Bun CLI and expose the interface on localhost; remote phone access can be provided through Tailscale. The repository is licensed under the MIT License.
Open Interpreter is a command-line coding agent optimized for open and low-cost models. It is a fork of OpenAI's Codex focused on emulating provider-specific agent harnesses; its Rust-native harnesses can be switched with `/harness`, while providers and models can be changed from its terminal interface. It supports native sandboxing on macOS, Linux, and Windows, MCP, skills, hooks, permissions, AGENTS.md instructions, and local configuration and session state under `~/.openinterpreter`. The agent can run as an Agent Client Protocol agent for compatible editors, speak the Codex exec protocol, and provide a one-line binary override for applications using the Codex SDK. Its built-in QA skill can test web applications through a real browser and native applications through trycua. The project is distributed for macOS, Linux, and Windows through shell or PowerShell installation commands and uses shared agent directories and protocols where available.
OpenMontage is an open-source, agent-driven video production system that turns plain-language instructions into video projects through an AI coding assistant. Its workflow covers research, scripting, production planning, asset generation, editing, and final composition, with production pipelines, approval gates, cost estimates, and post-render checks. The system can produce image-based videos as well as videos assembled from real motion footage: its agent can build a corpus from free stock footage and open archives, retrieve clips, edit them into a timeline, and render the result. It runs locally with FFmpeg and Remotion and includes 12 production pipelines, more than 100 tools, and hundreds of agent-skill and production-knowledge files.
Open Source Society University is a free, self-directed computer science curriculum assembled from online courses and, where necessary, supplementary books. It is organized around undergraduate computer science requirements into Intro CS, Core CS, Advanced CS, and a final project, with materials selected for open enrollment, recurring or self-paced availability, teaching quality, and alignment with the CS2013 curriculum guidelines. Learners may follow it independently or in groups, in or out of order, and most course material is free, although some providers may charge for graded assignments, tests, or projects.
Orca is a free, open-source agent development environment for running multiple coding agents in parallel on desktop, mobile, or a VPS. It runs CLI agents such as Codex, Claude Code, OpenCode, and Pi side by side, placing each agent in an isolated Git worktree so results can be compared and merged. The environment provides split terminals, a VS Code editor, diff annotation and review, browser-based Design Mode that sends selected HTML, CSS, and screenshots to an agent, native GitHub and Linear views, SSH worktrees with port forwarding, and a mobile companion for monitoring agents and sending follow-ups. Its CLI can script workflows such as creating worktrees, taking snapshots, clicking, and filling fields. Orca is designed to work with any coding agent that runs in a terminal and uses the user's own agent subscriptions.
Page Agent is a JavaScript in-page GUI agent that lets users control web interfaces with natural-language instructions. It operates through text-based DOM manipulation inside the webpage, without requiring a browser extension, Python, screenshots, multimodal models, or a headless browser. It can be integrated with a script tag or installed from NPM, and supports bring-your-own LLM configurations, including locally deployed models. An optional Chrome extension supports multi-page tasks, while a beta MCP server allows external agent clients to control the browser. The project is distributed under the MIT License and is designed for client-side web enhancement rather than server-side automation.
self-learning-skills is a meta-skill for AI coding agents, including Claude Code, Cursor, Codex, and agents that read AGENTS.md or similar standing-instruction files. It recognizes hard-won, reusable procedures such as non-obvious commands and recurring operational workflows, then captures them as skills, rules, or project instructions for later sessions. The capture includes known dead ends and excludes one-off details and secret values. The project stores learned procedures as new skills/<name>/SKILL.md files for Claude Code, Codex, and Agent Skills clients; as .cursor/rules/learned/<name>.mdc files for Cursor; or in AGENTS.md or project notes for other agents. It can be installed with the community skills CLI, as a Claude Code plugin, or manually by copying the relevant files.
spdlog is a fast C++ logging library developed as a header-only or compiled library for C++11 and later. It uses the fmt library for formatting and supports single- and multithreaded loggers, optional asynchronous logging, custom patterns, runtime and compile-time log levels, and loading log levels from command-line arguments or environment variables. Its logging targets include colored console output, basic, rotating, and daily log files, syslog, the Windows event log and debugger, and Qt widgets; custom targets can also be added. A backtrace facility stores debug messages in a ring buffer for later display. The project supports Linux, BSD and other Unix-like systems, Windows, macOS, Android, and distribution through several system and C++ package managers.
System Prompts Leaks is an open reference archive of extracted AI system prompts, stored as Markdown files and organized by vendor. It collects prompts captured from chat assistants and coding agents—including Anthropic Claude, OpenAI ChatGPT and Codex, Google Gemini, xAI Grok, Cursor, Copilot, VS Code, and Perplexity—as well as officially published prompts for comparison. The repository is updated regularly and is intended for developers and researchers studying the hidden instructions and rules supplied to AI systems before user messages.
The Temporal TypeScript SDK is an open-source framework for authoring workflows and activities in TypeScript or JavaScript against Temporal's distributed orchestration engine. Temporal executes asynchronous, long-running business logic with durable state and recovery across failures, while the SDK provides client packages for starting and interacting with workflows and worker packages for running workflows, activities, and Nexus Operations. Worker-level execution uses Node-specific capabilities including native modules, worker threads, virtual-machine isolation for the workflow sandbox, AsyncLocalStorage, and async hooks. The repository distributes the SDK as version-aligned @temporalio/* packages and officially supports Node.js 20, 22, and 24; alternative server-side JavaScript runtimes may work for some client features but are not officially supported for workers.
Three.js Game Skills is a set of self-contained Codex and Claude Code agent skills for building playable Three.js browser games. Its threejs-game-director skill routes work across gameplay, graphics, UI, asset generation, audio, debugging, and release verification, so users can request an outcome without manually selecting specialist skills. The package includes SKILL.md files, references, checklists, prompt templates, helper scripts, and a Vite, TypeScript, and Three.js scaffold. Generated games include deterministic test hooks and seeded randomness, with Playwright templates for smoke tests, visual-regression baselines, and bot playtests; the documented workflow also checks browser behavior, mobile viewports, visual output, UI, performance, and release readiness. It is created by Majid Manzarpour and can be installed for Codex or Claude Code through the skills CLI or the repository's installer.
UI Skills is a command-line tool and collection of skills for design engineers working with AI coding agents. Its registry can be browsed from a terminal with commands such as `npx ui-skills start`, `categories`, and `list --category motion`, while individual skills such as `baseline-ui` can be fetched with `get`. It also exposes the registry to agents over the Model Context Protocol through `list_skills` and `get_skill`, and provides a playbook of distilled design-engineering lessons.
Searchable transcript of Top Dev Tool Projects : Open Interpreter, spdlog, Dear ImGui, Cognee, Orca & graphify — ManuAGI - AutoGPT Tutorials (17:29). Search for a phrase, then click its timestamp to jump straight to that moment in the video.
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00:00 Every week developers release powerful open-source dev tools, and this weekly dev tool project update video puts them in one place, top trending open-source and best dev tool projects. This week cover terminal coding agents, local knowledge graphs, C++ libraries, learning resources, and agent skills. You'll discover useful and trending developer tools you can start using right away, explained fast and to the point without wasting time.
00:24 Let's get started. >> Before we jump into today's project updates, here's a quick announcement for everyone. We've launched a brand new YouTube channel called AI Agent Studio, dedicated entirely to AI agent projects, tutorials, and tools. So, if you're interested in staying up to date with the latest AI agent open-source projects, learning how to build your own agents, or exploring cutting-edge agent frameworks, make sure to check it out.
00:52 Subscribe now to get weekly videos, in-depth guides, and real-time project breakdowns. The link is right there in the description. Don't miss it. All right, let's get into today's video. >> Project number one, open interpreter, terminal coding agent tuned for low-cost models. Open interpreter is a command-line coding agent built for open low-cost models like GLM, DeepSeek, and Kimmy.
01:15 It runs in your terminal after a one-line install on macOS, Linux, or Windows, and you start a session by typing I. Its main idea is harness emulation. It swaps the agent scaffolding to match what a given model responds to best with options like Claude code, Kimmy CLI, Twin code, and DeepSeek 2E. It runs commands inside native sandboxing, switches providers from the interface, and supports MCP, skills, hooks, and permissions, keeping config and sessions on your machine.
01:43 A built-in QA skill lets models drive real web and native apps. It suits developers who want capable agents on cheaper models. Install it and start a session. Project number two, UI skills, agent skills collection for design engineers. UI skills is a command line tool and skill collection for design engineers working with AI coding agents. It gives an agent focused guidance for interface work.
02:07 So, instead of generic output, the agent follows a skill set matched to the task at hand. Developers run it through NPX with no install step. Use a start command to route their agent to the right skills, browse skills by category such as motion, and fetch a specific one like baseline UI directly. The skills live in the repository as plain files, and a companion site documents them.
02:28 It suits developers who build user interfaces with agent help. Run it and route your agent. Project number three, graphify, turns any project folder into a queryable knowledge graph. Graphify is a command line tool and agent skill that maps a project into a knowledge graph. Your AI assistant can query instead of gripping files. It parses code locally with tree-sitter across about 40 languages, so nothing leaves your machine and uses a model only for the semantic pass over docs, PDFs, images, and video.
02:58 It builds no embeddings and no vector store, just a real graph you traverse with query, path, and explain commands. And every edge is tagged as extracted or inferred, so you know what was read versus guessed. It outputs a clickable HTML graph, a report, and a JSON file, and installs into Claude Code, Cursor, Code X, Gemini CLI, and many more. It suits developers navigating large code bases.
03:21 Install it and map your project. Project number four, build your own X, curated guides for rebuilding technologies from scratch. Build your own X is a curated learning resource that collects step-by-step guides for recreating well-known technologies from scratch. It answers a common problem for developers. Reading about how something works rarely teaches as much as building it.
03:42 The repository is a single organized index grouped by what you build, covering databases, operating systems, programming languages, Git, Docker, web servers, neural networks, regex engines, text editors, emulators, games, and more. Each entry links to an outside tutorial and marks the language used from C and Rust to Python, Go, and JavaScript. It suits developers who learn by building rather than reading.
04:07 Pick a topic and start building. Project number five, Open Source Society University, free self-taught computer science degree curriculum. Open Source Society University is a free self-taught computer science curriculum built entirely from online course materials. It solves a familiar problem for self-learners. Plenty of free courses exist, but no clear order or standard tying them together.
04:29 The curriculum follows undergraduate degree requirements minus general education, and courses are selected only if they run regularly, stay open for enrollment, and match recognized curricular standards. Study moves through intro CS, core CS, advanced CS electives, and a final project spanning programming, math, systems theory, security, applications, and ethics.
04:50 Learners track progress by forking the repository and get support through a Discord community. It suits anyone seeking a rigorous grounding in computing. Fork it and start learning. Project number six, Orca desktop environment for orchestrating parallel coding agents. Orca is an open-source desktop application for running many coding agents side by side.
05:12 It solves the coordination problem that appears once you use more than one agent. Each needs its own isolated space, and their results need comparing in one place. Orca gives every agent its own Git work tree, so you can fan a single prompt across several and merge the best output. It runs any CLI agent, including Claude code, Codex, Cursor, Copilot, and Open Code using your own subscription.
05:34 It adds terminal splits, an embedded browser with a click-to-prompt design mode, native GitHub and linear views, diff annotation, SSH work trees, a scripting CLI, and a phone companion app. Written in TypeScript. It runs on Mac OS, Windows, and Linux. It suits developers working with agent fleets. Download it and run your agents. Project number seven, Open Montage, agentic video production system for coding assistance.
06:00 Open Montage is an open-source agent-driven video production system that turns an AI coding assistant into a full production studio. You describe what you want in plain language and the agent handles research, writing, asset generation, editing, and final composition. It has no code orchestrator. The agent reads YAML pipeline manifests and markdown director skills, then calls Python tools through a scored provider selector.
06:23 12 pipelines cover explainers, cinematic pieces, documentary montages, screen demos, dubbing, and more with approval gates, cost estimates, and post-render checks. It works with Claude Code, Cursor, Co-pilot, Windsurf, and Codex. Runs locally with FFmpeg and Remotion, and needs no paid keys to start. It suits creators automating production. Clone it and describe your idea.
06:47 Project number eight, codebase-memory-mepcp, local knowledge graph server for coding agents. Codebase-memory-mepcp is an MCP server that indexes a codebase into a persistent knowledge graph, so AI coding agents can query structure instead of grepping file by file. It parses code with vendor tree-sitter grammars across 158 languages, adds a lightweight type resolution layer for languages like Python, TypeScript, Go, Java, and Rust, and stores functions, classes, call chains, HTTP routes, and cross-service links in
07:19 SQLite. 15 tools cover search, call tracing, architecture overviews, impact analysis, dead code detection, and Cypher-style queries. It ships as a single static binary for Mac OS, Linux, and Windows, runs entirely on your machine, and configures detected agents automatically. It suits developers navigating large repositories. Install it and index your project.
07:42 Project number nine, system prompts leaks, archive of extracted AI assistant system prompts. System prompts leaks is an open reference archive of system prompts captured verbatim from AI chat assistants and coding agents. It addresses a gap most users never see. Every chatbot receives a set of hidden instructions before the first message, and those rules shape its tone, refusals, and tool use.
08:04 The repository organizes files by vendor with folders for Anthropic, OpenAI, Google, XAI, Microsoft, Perplexity, Cursor, Mistral, DeepSeek, and others, covering chat models, coding agents, sub agents, injected reminders, and tool instructions. Everything is plain markdown, kept under a public domain license, and open to contributions. It suits developers and researchers studying prompt design.
08:29 Browse it and study the prompts. Project number 10, page agent, in-page JavaScript agent controlling web interfaces. Page agent is a JavaScript library that puts a GUI agent inside your own web page, so users control the interface with plain language. It removes the usual setup burden, no browser extension, no Python, no headless browser, just in-page script running where the app already lives.
08:52 It reads and acts on the DOM as text rather than screenshots, so it needs no multimodal model or special permissions, and you supply your own model and API key. Developers add it through a single script tag, or install it from NPM, then call execute with an instruction. An optional Chrome extension and MCP server extended across tabs. It suits teams adding co-pilots or form automation.
09:16 Install it and start commanding. Project number 11, SPD log, fast C++ logging library with many sinks. SPD log is a C++ logging library built for speed and simple integration. It handles a need every application shares, recording what happened, where, and when, without slowing the program down. It formats messages through the FMT library and writes to many targets, including rotating files, daily files, colored console output, syslog, the Windows event log, and cute widgets.
09:46 And you can add your own sync. It supports single and multi-threaded loggers, an optional asynchronous mode, custom patterns, runtime and compile time log levels, and a backtrace buffer that holds debug messages until an error occurs. Available header only or compiled, it builds with C make and runs on Linux, Windows, macOS, and Android. It suits C++ developers instrumenting their applications.
10:11 Add it and start logging. Project number 12, Dear ImGui, immediate-mode C++ GUI library for tools. Dear ImGui is a self-contained graphical user interface library for C++ built for tooling rather than end-user apps. It solves a common pain in traditional interfaces, keeping UI state in sync with program state, which invites bugs. In the immediate-mode approach, you simply call functions each frame, and the interface reflects your live data with almost no stored UI state.
10:38 The library outputs vertex buffers and small draw call batches that your own renderer draws, so it never touches the GPU itself. Core files drop into any project without a special build, and bundled backends cover DirectX, OpenGL, Vulkan, Metal, GLOWF, SDL, Win32, and more. It suits engine and real-time developers building debug tools. Add it and start building tools.
11:02 Project number 13, CogniA, open-source memory platform for AI agents. Cogni is an open-source memory platform that gives AI agents lasting recall across sessions. It solves the problem of agents forgetting everything once a conversation ends. You feed in data in any format, and Cogni builds a self-hosted knowledge graph, combining vector embeddings with graph relationships, so documents are searchable by meaning and connected by structure.
11:27 The Python API centers on four operations: remember, recall, forget, and improve with a CLI and local UI alongside. It runs the whole memory layer on a single Postgres instance or swaps in Neo4j, Redis, or other backends and offers Rust and TypeScript clients plus MCP and Claude Code plugins. It suits developers building persistent agents. Install it and give agents memory.
11:51 Project number 14, Chinese Independent Developer, community list of Chinese indie developer projects. Chinese Independent Developer is a community-maintained directory of projects built by independent developers in China. It answers a simple question that is otherwise hard to explore. What are solo builders actually making and where can you find their work in one place?
12:11 The repository is plain markdown, so entries stay easy to read, search, and copy. Alongside the main list, it keeps a separate list for indie games and a programmer-focused edition for developer tools and technical projects. Anyone can add a project through a pull request and contributing guidelines explain the format. It suits indie developers seeking ideas, peers, and visibility for their own work.
12:31 Browse it and add yours. Project number 15, LF Dre, private control plane for remote coding agents. LF Dre is a self-hosted server that turns a Linux box or macOS workstation into a private control plane for AI coding agents. It solves a practical limit. Agents run best where your repositories and credentials live, but you are not always at that machine.
12:55 LF Dre starts each session inside a long-lived tmux session, streams the transcript to a web UI, and lets you answer permission prompts or steer work from a phone through an installable PWA. It supports Claude Code, Codex, and Open Code, binds to loopback by default, and is meant to be reached privately over Tailscale rather than the open internet. Built with Bun and TypeScript, it installs through one setup script.
13:17 It suits developers running agents remotely. Install it and start a session. Project number 16, Temporal TypeScript SDK. Author durable workflows in TypeScript. Temporal TypeScript SDK is the official framework for writing workflows and activities against Temporal, a distributed orchestration engine for long-running business logic. It addresses a hard problem in distributed systems, keeping asynchronous multi-step processes correct when services crash, timeout, or restart.
13:45 Developers write ordinary TypeScript or JavaScript, and the engine handles retries, state, and recovery. The repository is a monorepo of NPM packages split by role with client packages for starting and querying workflows and worker packages for executing them. Worker features rely on node specific capabilities like worker threads, the VM module, and async hooks, and run on node 20, 22, and 24.
14:05 It suits back-end developers building resilient services. Install it and write a workflow. Project number 117, loop.js, framework running agent loops until independently verified. Loop.js is a TypeScript framework and CLI for running an AI agent in a loop until the work is truly finished. It targets the weak point of naive agent loops, the worker declaring itself done.
14:29 You state a goal and what done means, and each round the worker builds with fresh context and memory read back from disk, writes a handoff note, and a separate read-only verify agent judges the result. Only that verdict settles the loop. Rounds, dollars, and timeouts act as guards with a not-yet reason feeding the next round. State lives on disk, so runs resume after crashes, and loop cron schedules entries through your OS scheduler or modal.
14:54 It suits developers automating long tasks. Install it and define a goal. Project number 18, Codex orchestration, plugin turning one Codex task into multi-model workflows. Codex orchestration is a plugin that turns a single Codex task into a workflow across several models. It addresses a limit of one model sessions. The same model plans, builds, and checks its own work.
15:17 Here you bring in other models and assign roles such as advisor, executor, researcher, writer, designer, or reviewer. Then set the order they work in. Codex stays the root orchestrator, handling hand-offs and returning one verified result. And executors can build independent parts in parallel. You install it through the Codex plugin marketplace, run a setup command to pick models, and define custom roles as files in your project or home directory.
15:40 It suits developers running Codex on larger tasks. Install it and design your workflow. Project number 19, self-learning skills. Meta skill teaching agents to keep hard-won knowledge. Self-learning skills is a meta skill for AI coding agents that captures what a session learned, so the next one starts informed. It targets a daily waste, hard debugging, an odd command, or a project fact gets figured out then disappears when the session ends.
16:07 The skill teaches the agent to recognize that moment, write the procedure and the dead ends into a reusable file, and reuse it automatically later. Where it saves depends on the tool, a skill.mb for Claude code, a rule under .cursor/rules for cursor, or agents.mb elsewhere. One-off details are skipped, and secret values are never written, only where to find them.
16:28 It suits developers working with agents daily. Install it and start harvesting. Project number 20, 3js game skills. Agent skills for building polished browser games. 3js game skills is a set of agent skills for building playable polished 3js browser games with Codex or Claude code. It removes the burden of picking the right specialist for each stage.
16:49 You name the director skill, and it routes work across game play systems, graphics, UI, debugging, QA, and asset generation. Each skill is self-contained, carrying its own instructions, references, scripts, and a bundled vite and typescript scaffold for empty projects. Before claiming success, the skills gather evidence through builds, browser runs, screenshots, canvas pixel checks, and mobile viewport passes.
17:14 Optional keys enable generated 3D models, images, and audio with procedural fallbacks otherwise. It suits developers making browser games with agents. Install it and start building. Thanks for watching. See you in the next update.